Parameter identification of a nonlinear radial basis function‐based state‐dependent autoregressive network with autoregressive noise via the filtering technique and the multiinnovation theory
DOI10.1002/rnc.5200zbMath1525.93465OpenAlexW3085437049MaRDI QIDQ6082923
Ahmed Alsaedi, Fengying Ma, Tasawar Hayat, Yihong Zhou, Ling Xu, Feng Ding
Publication date: 30 October 2023
Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/rnc.5200
Filtering in stochastic control theory (93E11) Estimation and detection in stochastic control theory (93E10) Identification in stochastic control theory (93E12)
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Cites Work
- Optimality of the threshold dividend strategy for the compound Poisson model
- The perturbed compound Poisson risk process with investment and debit interest
- Identification of structured state-space models
- Exit problems for jump processes with applications to dividend problems
- Optimal dividend problem with a terminal value for spectrally positive Lévy processes
- Synchronization of bidirectional \(N\)-coupled fractional-order chaotic systems with ring connection based on antisymmetric structure
- Hierarchical least squares parameter estimation algorithm for two-input Hammerstein finite impulse response systems
- Generalized exponential autoregressive models for nonlinear time series: stationarity, estimation and applications
- Exact joint laws associated with spectrally negative Lévy processes and applications to insurance risk theory
- Subspace identification of individual systems in a large-scale heterogeneous network
- Optimal dividend problems for a jump-diffusion model with capital injections and proportional transaction costs
- An extension of Paulsen-Gjessing's risk model with stochastic return on investments
- Passage times for a spectrally negative Lévy process with applications to risk theory
- Weighted parameter estimation for Hammerstein nonlinear ARX systems
- Constructing numerically stable Kalman filter-based algorithms for gradient-based adaptive filtering
- Exploiting the interpretability and forecasting ability of the RBF-AR model for nonlinear time series
- Stable Evaluation of Gaussian Radial Basis Function Interpolants
- System Identification Via Sparse Multiple Kernel-Based Regularization Using Sequential Convex Optimization Techniques
- Non-linear time series models for non-linear random vibrations
- STATE-DEPENDENT MODELS: A GENERAL APPROACH TO NON-LINEAR TIME SERIES ANALYSIS
- Nonlinear time series modelling with the radial basis function-based state-dependent autoregressive model
- A Regularized Variable Projection Algorithm for Separable Nonlinear Least Squares Problems
- Dynamic Self-Triggered Controller Codesign for Markov Jump Systems
- Recursive methods for estimating the radial basis function‐based state‐dependent autoregressive model
- Decomposition‐based multiinnovation gradient identification algorithms for a special bilinear system based on its input‐output representation
- Parameter estimation for block‐oriented nonlinear systems using the key term separation
- ON THE OPTIMAL DIVIDEND PROBLEM FOR A SPECTRALLY POSITIVE LÉVY PROCESS
- Optimal control of a linear system subject to partially specified input noise
- Constrained Subspace Method for the Identification of Structured State-Space Models (COSMOS)
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